Tag
#ai coding agents
Every AuricIDE article on ai coding agents: agent orchestration, machine-checkable goals, and the mechanisms behind them.
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AI Requirements Management: One ID Per Requirement
See how AI requirements management works in AuricIDE: one record per requirement, a unique short ID, and a batch import that fails whole.
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Agent Supervisor: Which Limits Belong in the App
An agent supervisor in AuricIDE follows two kinds of rules: fences the app checks on every spawn, and notes the model reads and has to judge.
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AI Agent Team: What Survives When the Session Ends
An AI agent team is defined by what survives a session: a name, standing rules and written memory. Here is how AuricIDE keeps them.
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Spec Driven Development: A Practitioner's Guide
Spec driven development explained clearly: workflow, benefits, and how specs connect requirements, implementation, and testing for real engineering teams.
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MCP Server List 2026: 8 Decisions Behind Shared State
An MCP server list that explains each design trade-off: shared project state, agent exit status, local SQLite storage, and chain handover in AuricIDE.
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Developer Workflow: When the Agent Says It Is Done
A finished ticket is the agent's claim. Verified means someone checked and dated it. How AuricIDE keeps the two apart.
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Best AI Coding Agent: Compare by Contract Shape
Evaluate the best ai coding agent by input, output, state, permissions, and local execution instead of unsupported rankings.
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Best AI Coding Tools: Building a Full Stack
The search for the best AI coding tools assumes one leaderboard. Runtime, agent, and orchestration are different jobs requiring a layered stack.
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Code Automation Tools for Local-First Agent Workflows
Explore code automation tools that run locally, from templating to refactor bots and agent fleets, with practical tips for local-first setups.
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Open Source AI Tools for Developers in 2026
Curated open source AI tools for developers in 2026, from agent CLIs and local models to MCP servers, with trade-offs and clear use cases.